Matching Resources in Social Environment
| dc.citation.epage | 70 | fr_FR |
| dc.citation.spage | 61 | fr_FR |
| dc.contributor.author | Benna, Amel | |
| dc.contributor.author | Mellah, Hakima | |
| dc.contributor.author | Choui, Islam | |
| dc.contributor.author | Oualid, Ali | |
| dc.date.accessioned | 2013-12-04T11:33:07Z | |
| dc.date.available | 2013-12-04T11:33:07Z | |
| dc.date.issued | 2012-06-28 | |
| dc.description.abstract | User comments on the web are becoming more and more important. We focus, in this paper, on the use of user-defined tags for annotating resources to identify links between them. These links are based on a social context of the resource, obtained by applying k-means classification method and a hierarchi- cal classification of tags within a cluster. The resources are re-assigned to this classification to facilitate the search process. The ranking of results is performed according to their degree of relevance, by evaluating a similarity score between the tagged contents, in hierarchical clusters of tags, and the user request. The re- sults of the evaluation, on the social bookmarking systemdel.icio.us, demonstrate significant improvements over traditional approaches. | fr_FR |
| dc.identifier.doi | 10.5220/0004088800610070 | |
| dc.identifier.uri | http://dl.cerist.dz/handle/CERIST/454 | |
| dc.relation.ispartof | International Workshop on Web Intelligence in conjunction with International Conference on Entreprise Information systems (ICEIS) | fr_FR |
| dc.relation.place | Wroclaw, Poland | fr_FR |
| dc.rights.holder | SciTePress | fr_FR |
| dc.structure | Intégration des Systèmes d'Information | fr_FR |
| dc.subject | Collaborative tagging | fr_FR |
| dc.subject | Social information retrieval | fr_FR |
| dc.subject | Matching resources | fr_FR |
| dc.title | Matching Resources in Social Environment | fr_FR |
| dc.type | Conference paper |